• Title/Summary/Keyword: Digital Transaction

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A Study on Space Utilization according to Changes in Non-face-to-Face Consumer Use : Focused on bank offices

  • Hwang, Sungi;Ryu, Gihwan;Yun, Daiyeol;Kim, Heeyoung
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.271-278
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    • 2020
  • Modern financial services go beyond the stage of internet banking, and new concepts of financial transactions such as Internet of Things, mobile banking, electronic payments, and fintech have emerged. As a result, banks are less influential in financial transactions, and changes are being demanded. In the present era, the basic business of banks has decreased, and it is transforming into a space where both consumer finance work and reside. The bank office stands for the brand image of the bank, and it is represented by trust with customers in the basic business of financial transactions, and the rise in real estate value is a natural social phenomenon due to the nature of the location and location of real estate owned by the bank. The business method and space of the bank office that meets the new paradigm of the modern society is an inefficient space only for the convenience and rest of consumers, but it must be used as a variety of spaces suitable for the region to increase the functional value of the bank office. Through this study, as a convenience space for consumers, various service facilities should be introduced to understand the characteristics of the region as a convenience space for consumers, and various service facilities should be introduced to meet the needs of consumers, and the bank office should be improved as a complex service space for local residents.

Subscribing to an All-You-Can-Read E-Bookstore: Tariff Choice, and Contract Renewal for E-Book Purchases (전자책 무제한 정액제의 소비자 이용행태 분석: 가격제 선택과 구독 갱신, 그리고 전자책 구매에 관하여)

  • Jinpyo Hong;Wonseok Oh
    • Information Systems Review
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    • v.22 no.1
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    • pp.91-111
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    • 2020
  • E-book markets are currently moving through a period of disequilibrium as new pricing structures (i.e., flat-fee subscriptions) are rapidly embraced by major vendors. On the basis of a novel dataset, we investigate how the availability of "all-you-can-read" pricing programs influences consumers' tariff choice and contract renewal behaviors. Consistent with the rational choice framework, the findings suggest that most e-book consumers significantly gain from subscription-based tariffs. Power readers prefer flat-fee subscriptions, and those that have economically benefited renew their subscription. However, we also find some other intriguing results. Among the three subscription designs examined, the 1-week plan affords consumers more economic benefits than do 1-day or 1-month programs. Finally, iOS users are more inclined to select subscription models than are Android users because of the absence of in-app purchase functionalities for the former. The unavailability of in-app purchase affects tariff choices and transaction patterns as it increases transaction costs.

A Strategic Analysis of Digital Transformation for Data Integration based on Platform Business Model: Focusing on Financial Industry (디지털 트랜스포메이션의 플랫폼 비즈니스 모델 기반 데이터 통합 관점 분석: 금융산업 사례를 중심으로)

  • Kim, Iljoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.119-131
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    • 2021
  • With the boom of platform businesses, digital transformation has become the most important topic for businesses. Digital transformation has now become the most urgent strategy for survival, from a strategy considered as an option to choose in the past. Many companies are desperately seeking the ways to be digitally transformed. Even though there have been many studies on digital transformation, most of them are on strategic and conceptual model levels based on simple case analyses. In this study, we analyze the benefits of data integration and network effects from it, based on platform business model at the core of digital transformation. The change based on platform can be categorized into the internal one for the integration of data and better decision making, and the external one for the expansion of the businesses and better prediction of consumer behaviors through the integration of external data sets by the platform business model based enterprises. While the progress for digital transformation is not mature enough yet, financial industry is one of the most promising industries for the change and realization of the aim of it with its relatively much more advanced IT infrastructure. Many companies are making various efforts for the integration of external data, and if the good results can be accomplished, financial industry will contribute to the advancement of digital transformation in other industries as well. For "My Data" project by Korean government, we suggest the data structure and transaction of data (of Korea) should be advanced and established more quickly.

Promoting Arbitration System in The Era of Digital Economy (디지털 경제시대의 중재제도 활성화 방안)

  • Kang Lee-Soo
    • Journal of Arbitration Studies
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    • v.15 no.3
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    • pp.3-25
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    • 2005
  • The companies' management strategies of the electronic commerce market are different from those of the traditional market. The main difference between the electronic commerce market and the traditional market is an IT network system which is a companies' management strategies in the electronic commerce market. This study focuses on the examination and analysis of the companies' management strategies which are constituted through influence on the effectiveness of the IT network system in the electronic commerce market and Promoting Arbitration System in The Era of Digital Economy this study is to introduce several alternative policies of the Government and companies to such formated IT network system of the electronic commerce market in the future. It's also suggested that the Korean Commercial Arbitration Board (KCAB) fully cover consideration and arbitration, while KCAB for Electronic Commerce activates its proper role of consulting and ad hoc arbitration by using electronic information. E-commerce sets up the probability that its merchants and customers will not exist in the same legal jurisdictions. The confusing application of laws and wide geographical dispersion of these parties will necessitate a faster and cheaper dispute resolution methodology. Therefore, online ADR may be effective for e-commerce dispute resolution. The examples of online ADR operation are the cyber mediation of Electronic Transaction Dispute Resolution Committee, the cyber mediation of Korean Commercial Arbitration Board, the cyber mediation of Click N Settle, the online ADR of BBB online, and the cyber arbitration of virtual Magistrate. The paper points out the last one as the most desired practice. This study results are how to minimize the disputes and the method of dispute settlement. Therefore, a role of arbitration proposed and emphasized. To protect the dispute in advance, it's suggested to revise rules timely following on technical changes, and emphasized that the dispute has to lead to arbitration settlement not for consuming unnecessary time and finance for enterprises and consumers.

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POCS Based Digital Watermarking in Buyer-Seller Watermarking Protocal (Buyer-Seller 워터마킹 프로토콜 상에서 POCS 기반의 디지털 워터마킹)

  • Kwon, Seong-Geun;Lee, Ji-Hye;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.10 no.5
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    • pp.569-582
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    • 2007
  • Digital watermarking technique for copyright protection and prevention of illegal copy and distribution can provide the reliable transaction to both buyer and seller in e-commerce through the cryptographic protocol such as 'Buyer-seller watermarking protocol'. Recently there has been researched about some cryptographic protocols for watermarking system but there has no yet mentioned about the implementation of practical watermarking technique in protocol. This paper presents the watermark embedding technique based on POCS in buyer-seller watermarking protocol. The proposed method designs the robust convex set based on EZW and the invisible convex set using PSNR and then projects into two sets until the convergence condition is satisfied. Experimental results verified that BER of watermark that is embedded by the proposed method has lower 0.02-0.10 than BER of the conventional method.

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A Study on Smart Contract for Personal Information Protection (개인정보보호를 위한 스마트컨트랙트 연구)

  • Kim, Young-Hun
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.215-220
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    • 2019
  • The block chain technology is a technique that prevents manipulation of data and ensures integrity and reliability. Ethereum is building a smart contract environment as a type of encryptionenabled system based on block chains. Smart contracts can be implemented when conditions are met, thus increasing confidence in digital data. However, smart contracts that are being tried in various ways are not covered by information security and personal information protection. The structure in which the network participant can view the open transaction ledger is exposed to data or personal information listed in the block chain. In this study, it is possible to manage the data of personal information recorded in the block chain directly. This study is protected personal information by preventing the exposure of personal information and by executing time code, it is possible to erase recorded information after a certain period of time has elapsed. Based on the proposed system in the future, it is necessary to study the additional management techniques of unknown code defects or personal information protection.

Study on Potential Topics of the MyData and Data Transactions Using LDA Topic Modeling (국내 마이데이터 태동과 데이터 거래에 관한 잠재적 주제 분석)

  • Cho, Ji Yeon;Lee, Bong Gyou
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.221-229
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    • 2022
  • With the recent full-fledged MyData service, interest in the use of personal data is increasing. However, studies on MyData are still in the early stages, focusing on legal and institutional discussions, and studies from a comprehensive perspective are insufficient. Therefore, this study aimed at finding the potential topics formed by social discussions by analyzing news data from 2018 to the present. News data analysis using LDA topic modeling were conducted and 6 potential topics including digital transformation in finance, scope of Mydata business license, amendments and data-related laws, safe use of big data, data economy promotion policy and strategy of the financial industry were derived. This study has significance in that it comprehensively viewed the issues that emerged with the MyData and deriving gaps in previous discussion. Future research is expected to identify changes after the launch of MyData service and provide specific implications through research by specific industries.

Enhancing Throughput and Reducing Network Load in Central Bank Digital Currency Systems using Reinforcement Learning (강화학습 기반의 CBDC 처리량 및 네트워크 부하 문제 해결 기술)

  • Yeon Joo Lee;Hobin Jang;Sujung Jo;GyeHyun Jang;Geontae Noh;Ik Rae Jeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.129-141
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    • 2024
  • Amidst the acceleration of digital transformation across various sectors, the financial market is increasingly focusing on the development of digital and electronic payment methods, including currency. Among these, Central Bank Digital Currencies (CBDC) are emerging as future digital currencies that could replace physical cash. They are stable, not subject to value fluctuation, and can be exchanged one-to-one with existing physical currencies. Recently, both domestic and international efforts are underway in researching and developing CBDCs. However, current CBDC systems face scalability issues such as delays in processing large transactions, response times, and network congestion. To build a universal CBDC system, it is crucial to resolve these scalability issues, including the low throughput and network overload problems inherent in existing blockchain technologies. Therefore, this study proposes a solution based on reinforcement learning for handling large-scale data in a CBDC environment, aiming to improve throughput and reduce network congestion. The proposed technology can increase throughput by more than 64 times and reduce network congestion by over 20% compared to existing systems.

A Study on Factors Affecting Foreign direct Investment in Korea -Focused on Hofstede's Culture Dimensions and CPI Index- (한국의 외국인직접투자에 영향을 주는 요인에 관한 연구 - 문화적 차원과 부패인식지수를 중심으로-)

  • Choi, A-Reum;Koo, Jee-Hyun
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.1-8
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    • 2017
  • This study examined the factors influencing foreign direct investment(FDI) in OECD countries where Korea is a target country. The differences in the cultural distances of host and home countries and the difference in the perceptions of corruption have been used to identify the factors affecting foreign direct investment. As a result of the study, it was found that there are differences in foreign direct investment according to cultural dimension and corruption perceptions index. Foreign direct investment may increase or decrease depending on the cultural tendency and the higher the perceptions of corruption, the more active the investment. The smaller the power distance between host country and home country in the factors affecting foreign direct investment, the larger the number of investments and the larger the size of individualism versus collectivism. Foreign direct investment increased when the investing country's corruption perceptions index was high. The results of this study confirm that cultural and corruption perceptions can affect trade transactions. Therefore, it is necessary to consider the cultural tendency and the cultural distance in the trade transaction by confirming that the degree of culture and corruption perceptions can affect the trade transaction. And that it can influence trade and economic growth by appropriately managing social variables such as public corruption.

Bargaining Game using Artificial agent based on Evolution Computation (진화계산 기반 인공에이전트를 이용한 교섭게임)

  • Seong, Myoung-Ho;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.293-303
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    • 2016
  • Analysis of bargaining games utilizing evolutionary computation in recent years has dealt with important issues in the field of game theory. In this paper, we investigated interaction and coevolution process among heterogeneous artificial agents using evolutionary computation in the bargaining game. We present three kinds of evolving-strategic agents participating in the bargaining games; genetic algorithms (GA), particle swarm optimization (PSO) and differential evolution (DE). The co-evolutionary processes among three kinds of artificial agents which are GA-agent, PSO-agent, and DE-agent are tested to observe which EC-agent shows the best performance in the bargaining game. The simulation results show that a PSO-agent is better than a GA-agent and a DE-agent, and that a GA-agent is better than a DE-agent with respect to co-evolution in bargaining game. In order to understand why a PSO-agent is the best among three kinds of artificial agents in the bargaining game, we observed the strategies of artificial agents after completion of game. The results indicated that the PSO-agent evolves in direction of the strategy to gain as much as possible at the risk of gaining no property upon failure of the transaction, while the GA-agent and the DE-agent evolve in direction of the strategy to accomplish the transaction regardless of the quantity.